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Cheng Liu

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#artificial intelligence Preprint Oct 2026

UniSkill: Learning Actor-Aligned Skill Proposals for an Evolving Policy

Large language model agents can improve across tasks by retaining reusable skills distilled from prior interactions. Recent work jointly optimizes task execution and skill extraction, enabling the policy and skillbank to co-evolve. However, as the actor continues learning, rewarding skill proposals through their reuse...

Yi-Fei Lu, Cheng Liu, Dian-Zhi Yu et al. · 0 citations
Preprint Aug 2026

Wuying-Browser-Agent: Real-World Centric Fundamental Long-Horizon Browser Agents

This work argues that closing this gap requires alignment at every level of the pipeline, including execution, supervision, optimization, and evaluation, rather than scale alone, and presents Wuying-Browser-Agent, a unified framework that addresses each of these levels.

A. Chen, Yan Cheng, Zhangye Han et al. · 1 citation

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